Unified platform with customizable dashboards and AI-driven insights
What is our primary use case?
Our primary use case for this solution is comprehensive cloud monitoring across our entire infrastructure and application stack.
We operate in a multi-cloud environment, utilizing services from AWS, Azure, and Google Cloud Platform.
Our applications are predominantly containerized and run on Kubernetes clusters. We have a microservices architecture with dozens of services communicating via REST APIs and message queues.
The solution helps us monitor the performance, availability, and resource utilization of our cloud resources, databases, application servers, and front-end applications.
It's essential for maintaining high availability, optimizing costs, and ensuring a smooth user experience for our global customer base. We particularly rely on it for real-time monitoring, alerting, and troubleshooting of production issues.
How has it helped my organization?
Datadog has significantly improved our organization by providing us with great visibility across the entire application stack. This enhanced observability has allowed us to detect and resolve issues faster, often before they impact our end-users.
The unified platform has streamlined our monitoring processes, replacing several disparate tools we previously used. This consolidation has improved team collaboration and reduced context-switching for our DevOps engineers.
The customizable dashboards have made it easier to share relevant metrics with different stakeholders, from developers to C-level executives. We've seen a marked decrease in our mean time to resolution (MTTR) for incidents, and the historical data has been invaluable for capacity planning and performance optimization.
Additionally, the AI-driven insights have helped us proactively identify potential issues and optimize our infrastructure costs.
What is most valuable?
We've found the Application Performance Monitoring (APM) feature to be the most valuable, as it provides great visibility on trace-level data. This granular insight allows us to pinpoint performance bottlenecks and optimize our code more effectively.
The distributed tracing capability has been particularly useful in our microservices environment, helping us understand the flow of requests across different services and identify latency issues.
Additionally, the log management and analytics features have greatly improved our ability to troubleshoot issues by correlating logs with metrics and traces.
The infrastructure monitoring capabilities, especially for our Kubernetes clusters, have helped us optimize resource allocation and reduce costs.
What needs improvement?
While Datadog is an excellent monitoring solution, it could be improved by building more features to replace alerting apps like OpsGenie and PagerDuty. Specifically, we'd like to see more advanced incident management capabilities integrated directly into the platform. This could include features like sophisticated on-call scheduling, escalation policies, and incident response workflows.
Additionally, we'd appreciate more customizable machine learning-driven anomaly detection to help us identify unusual patterns more accurately. Improved support for serverless architectures, particularly for monitoring and tracing AWS Lambda functions, would be beneficial.
Enhanced security monitoring and threat detection capabilities would also be valuable, potentially reducing our reliance on separate security information and event management (SIEM) tools.
For how long have I used the solution?
I've used the solution for two years.
Good dashboards, easy troubleshooting, and integrations
What is our primary use case?
We utilize Datadog mainly to monitor our API integrations and all of the inventory that comes in from our API partners. Each event has its own ID, so we can trace all activity related to each event and troubleshoot where needed.
How has it helped my organization?
Datadog gives non-dev teams insights as to what all is happening with a particular event as well as flags any errors so that we can troubleshoot more efficiently.
What is most valuable?
The dashboards are super convenient to us for a more zoomed out view of what is going on with each integration that we utilize.
What needs improvement?
There could be more easily identifiable documentation on how to find different things on the platform. It can be overwhelming at first glance, and it's hard to find appropriate documentation on the site to lead you to where you need to be.
For how long have I used the solution?
I've used the solution for about 1.5 years.
Monitoring with datadog
What do you like best about the product?
APM traces, In detailed logging of pdos, service level data.
What do you dislike about the product?
Implementation of cloud siem is not so easy and its not as good as wazuh.
What problems is the product solving and how is that benefiting you?
Out entire monitoring is based on datadog
Becoming the Gold Standard
What do you like best about the product?
DataDog provides thorough insights accross all of the important facets
What do you dislike about the product?
DataDog has an excellent offering and continues to provides new services to keep clients and fulfill the needs of the industry. However, with this comes a premium and in turn hinders its adoption or for those who use it, to use it completely.
What problems is the product solving and how is that benefiting you?
Providing key actionable insights
This is a good product, but is only just starting to bubble up observability. Takes minutes
What do you like best about the product?
It is all in one place, the UI is fairly nice. Customer support is bomb! Thanks!
What do you dislike about the product?
Graphs are a bit small, it would be nice to have more datapoints. Also still no real useable HEATMAPS.
What problems is the product solving and how is that benefiting you?
Incident management using workflows/appbuilder/incident management
APM is growing by leaps and bounds
Great product, could get very expensive if you're not careful
What do you like best about the product?
Easy to use, great functionality for monitoring backend apps. Scales well for applications under big loads
What do you dislike about the product?
Because of it's pricing model, sometimes you pay for things you are not using. Easy to forget you have loads of metrics on some forgotten apps generating cost.
What problems is the product solving and how is that benefiting you?
Helps me monitor the health of my apps
Incredibly flexible, intuitive, and accessible
What do you like best about the product?
The ease of integration for most of their products like RUM, super easy to set up even with limited knowledge, and due to their wide variety of products you can have all your logs/alerting/monitoring in one place across multiple services.
What do you dislike about the product?
Once you get deep into custom metrics and analysis it can get confusing, their graphing/visualization tool is unfortunately not very intuitive and they are missing a lot of features that something like Tableau might have.
What problems is the product solving and how is that benefiting you?
Being able to track user activity/history makes it much easier when debugging errors
Powerful insights for infrastructure, services, and applications
What do you like best about the product?
When implemented well, it has a comprehensive feature set that encompasses the entire SDLC.
What do you dislike about the product?
The documentation only enables a real-world application to a degree, but some hands on support/implementation would be beneficial and drive value for our Datadog investment.
What problems is the product solving and how is that benefiting you?
Datadog is helping us resolve incidents in near real-time.
Great Usability and Experience
What do you like best about the product?
I really enjoy the fact that I can see so much details about my organization from each component offered by DD. The ability to see so much in one place has allowed us to become more proactice, than reactive to situatiuons.
What do you dislike about the product?
I do have a hard time building things out that I want, but that could just be lack of knowledge still, overall my least favorite thing would just be some things are very complex, but i do think if i was better with the application those complexities would be beneficial
What problems is the product solving and how is that benefiting you?
its making observability easier and learning what is happening inside the application
So much insight
What do you like best about the product?
I like how customizable it is. It has been able to fulfil all of our company use cases
What do you dislike about the product?
Can sometimes feel like a steep learning curve. There's a lot to learn and sometimes we don't have the manpower to dedicate to it while also trying to develop new features
What problems is the product solving and how is that benefiting you?
Making sure that we hit company SLAs
